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Reading Time: 2 minutes • 11th Feb, 2026

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    Overview

    Global supply chains operate under constant disruption driven by geopolitical volatility, congestion, climate risk, and multi-tier complexity. While control towers have improved visibility, most still depend on manual intervention, static rules, and delayed response.

    RADAR introduces a new control tower model. It functions as an autonomous, self-learning intelligence and execution layer that transforms alerts into prioritized decisions and coordinated action, continuously and in real time.

    This guide explains how RADAR upgrades existing control towers into intelligent, self-learning command centers without replacing current systems.

    The Problem: Why Traditional Control Towers Fall Short

    Most control towers stop at monitoring and alerting. They expose issues but leave teams to interpret, prioritize, and respond manually.

    Common limitations include:

    • Visibility without ranked actions or policy-driven response
    • Fragmented data across tiers with no decision-ready digital twin
    • Manual triage queues that cannot keep pace with disruption
    • Static rules that do not adapt or learn over time

    These gaps prevent control towers from delivering consistent outcomes at scale.

    The Solution: RADAR as an Autonomous Control Tower Layer

    RADAR functions as an enhancement layer that sits above existing control towers and visibility platforms. It operates on a push-based, real-time architecture that combines human judgment with machine prioritization.

    With RADAR, organizations can:

    • Detect and prioritize risks continuously across modes and tiers
    • Convert alerts into ranked, context-aware recommendations
    • Enable autonomous execution of predefined workflows
    • Coordinate responses across partners, carriers, and internal teams
    • Improve outcomes without rebuilding or replacing current systems

    RADAR augments foundational visibility with intelligence, orchestration, and execution.

    Why It Matters

    As disruption frequency increases, response speed and decision quality become critical differentiators.

    This whitepaper shows how RADAR enables organizations to:

    • Move from reactive monitoring to proactive orchestration
    • Reduce manual workload through autonomous, self-learning AI agents
    • Anticipate and mitigate disruption through global trade lane risk analysis and scenario-based response planning
    • Enable multi-tier collaboration beyond immediate partners
    • Scale decision intelligence without increasing operational overhead

    Instead of managing alerts, teams focus on higher-value decisions while RADAR manages execution in the background.

    Authored By

    Dave-Feretti-Headshot-Decklar

    Dave Ferretti, Vice President – Sales, Americas

    Dave Ferretti leads enterprise sales at Decklar. With a track record of driving sales for AI/ML first-mover solutions, Dave has built sales processes at five startups acquired by Fortune 500 companies. He brings deep expertise in software systems engineering and federal security clearances.

    Premsai Sainathan Decklar

    Premsai Sainathan, Vice President – Growth

    Premsai Sainathan drives scalable demand generation and go-to-market strategies at Decklar. A seasoned entrepreneur, Premsai co-founded IoT firm Skope Solutions and has been instrumental in establishing product-market fit in key markets. He is a published author and frequent industry speaker.

    Download the Guide Now

    Build a control tower that detects risk, prioritizes action, and responds autonomously.

    Download our Free Whitepaper